Intelligent Web Search with Semantic Reordering of Results
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Workflow Description
An automation that receives queries via webhook, searches the web using intelligent agents powered by advanced language models (Claude, OpenAI, Gemini), analyzes results, and reorders them semantically by relevance, then returns organized outputs through webhook response.
How it works
- 1.Receive query submission through webhook endpoint
- 2.Perform intelligent web search via LLM chain
- 3.Analyze and semantically reorder search results
- 4.Return structured results via webhook response
Use cases
- Automatically retrieve and organize complex information queries
- Improve research workflows with semantic relevance ranking
- Process intelligent queries from external applications
Requirements
- Valid API keys for Anthropic, OpenAI, and Google Gemini
- Webhook endpoint configured to receive incoming queries
- Access to web search tools and capabilities
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (13)
Sticky Note4
Sticky Note
Sticky Note
Sticky Note
Date & Time
Date Time
Webhook
Webhook
Auto-fixing Output Parser6
Output Parser Autofixing
Auto-fixing Output Parser
Output Parser Autofixing
Structured Output Parser1
Output Parser Structured
Query-1 Combined
Code
Respond to Webhook
Webhook
Semantic Search - Result Re-Ranker
LLM Chain
Query
HTTP Request
Sticky Note6
Sticky Note
Semantic Search -Query Maker
LLM Chain
Structured Output Parser2
Output Parser Structured
Parser Model
Gemini Model
Agent Model
Gemini Model
Sticky Note5
Sticky Note
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